Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2505.19641.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T09:34:08.152525Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 67260a79-9d62-4e4f-986a-a8294be5bfab · inbound
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention cites this paper.
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:28:16.409868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 45de8c5e-0b56-4d37-95c9-833c0f1c7849 · inbound
Beyond the Sampled Token: Preserving Candidate Support in RLVR cites this paper.
Beyond the Sampled Token: Preserving Candidate Support in RLVR SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:34:08.152525Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae2a1a75-0527-4053-b2ba-816c8528af8a · inbound
A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.
A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
Reference 130
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:15:23.797404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40e1fd62-e695-4334-808b-d1470f22d197 · inbound
SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions cites this paper.
SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:11:01.580501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b43661c2-68b5-4dd8-bbe4-4ccdec87bd89 · inbound
HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment cites this paper.
HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
Reference 48
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T05:25:55.264416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e45bf414-2568-4816-949d-4728ffb5113e · inbound
Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key cites this paper.
Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
Reference 81
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:16:11.442341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5f37bafc-ae00-4959-bd24-6785965bf12a · inbound
Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key cites this paper.
Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
Reference 85
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:21:19.248526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation afa62865-c185-4ce1-97d0-f9edf9d7d4ab · inbound
Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key cites this paper.
Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
Reference 85
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T22:39:10.569023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2f7659e9-fed6-4bd1-bb06-96d0ae508a5a · inbound
RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance cites this paper.
RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T20:53:58.009157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 09397fe9-541f-4b71-a434-e42ba757d11a · inbound
DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes cites this paper.
DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T11:53:23.704451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 171ebb94-e67f-4d62-bdb5-7f6605b5ab8e · inbound
DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes cites this paper.
DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:58:10.927245Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 086588be-568d-471e-8666-72e680f470b1 · inbound
TRON: Targeted Rule-Verifiable Online Environments for Visual Reasoning RL cites this paper.
TRON: Targeted Rule-Verifiable Online Environments for Visual Reasoning RL SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T22:56:19.977749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c50e16e9-e859-4d2e-9c41-b69c7d3f9640 · inbound
Robots Need More than VLA and World Models cites this paper.
Robots Need More than VLA and World Models SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
Reference 165
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T01:11:28.854308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ef966bbf-3c32-48b4-8906-fbb350038b6a · inbound
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale cites this paper.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.604382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ee7e62c5-39d1-44ff-8441-a929a4233f7c · inbound
SFBench: The SciFy Scientific Feasibility Benchmark cites this paper.
SFBench: The SciFy Scientific Feasibility Benchmark SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T07:04:21.316873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.